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This self-contained text, intended for a first course in performance evaluation, covers all aspects of queueing theory. It starts by introducing readers to the terminol- ogy and usefulness of queueing theory. Chapter two then covers Markovian queues in equilibrium, Little's Law, reversibility, transient analysis and computation and the M/G/I queueing system. Chapter three begins with coverage of the product form solution for networks of queues. A new and easy-to-understand algebraic topological explanation of its existence is presented. The chapter concludes with three case studies of distributed queueing networks arising in industrial applications. Chapter four explains numerical solution techniques such as the convolution algorithm and mean value analysis along with complete worked out examples. The Panacea technique, discrete time queueing systems and simulation are also discussed. The last chapter describes the new area of stochastic Petri networks. An appendix reviews probability theory and an annotated set of references is provided. The manuscript contains useful exercises at the end of each chapter, and the solution manual is available from the author upon request.
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This self-contained text, intended for a first course in performance evaluation, covers all aspects of queueing theory. It starts by introducing readers to the terminol- ogy and usefulness of queueing theory. Chapter two then covers Markovian queues in equilibrium, Little's Law, reversibility, transient analysis and computation and the M/G/I queueing system. Chapter three begins with coverage of the product form solution for networks of queues. A new and easy-to-understand algebraic topological explanation of its existence is presented. The chapter concludes with three case studies of distributed queueing networks arising in industrial applications. Chapter four explains numerical solution techniques such as the convolution algorithm and mean value analysis along with complete worked out examples. The Panacea technique, discrete time queueing systems and simulation are also discussed. The last chapter describes the new area of stochastic Petri networks. An appendix reviews probability theory and an annotated set of references is provided. The manuscript contains useful exercises at the end of each chapter, and the solution manual is available from the author upon request.
About the Author Thomas G. Robertazzi is an associate professor of electrical engineering at Suny at Stony Brook. In recent years, he has taught telecommunications and data networking courses at Suny at Stony Brook, The Cooper Union, and in industry. Since 1993 Professor Robertazzi has also been faculty director of the Stony Brook Interdisciplinary Program in Science and Engineering. Professor Robertazzi's research interests lie in the performance evaluation of computer and communication systems. He has published extensively in the areas of parallel processor scheduling, ATM switching, Queueing networks, Petri networks, and multihop radio networks. In the area of performance evaluation, he has written one book, coauthored a second, and edited a third. Professor Robertazzi has served as an editor of books for the IEEE Communications Society and as an associate editor of the journal, Wireless Networks.
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